The decision that matters
Write down the input, expected output and person responsible for judging quality. Prefer a task where a draft can be checked before it changes an external system. Identify the cost of a wrong answer and decide when the assistant should stop. A model can produce fluent text while missing the operational requirement, so fluency alone is not a useful success measure.
A practical scenario
A support team might begin with classifying incoming requests or drafting a response from an approved procedure. The reviewer can compare the draft with the source and correct it. Automatically closing tickets is a different level of responsibility and should not be bundled into the first experiment. Keep the first pilot small enough that every failure can be inspected.
Before you ship
- Collect representative examples and difficult exceptions.
- Define what counts as an acceptable output.
- Choose a clear fallback when confidence or evidence is insufficient.
A useful next step
Run the same sample set before and after a prompt or model change. Record review effort alongside output quality. A workflow that saves generation time but creates more checking work may not be an improvement. Expand only after the bounded task produces useful, repeatable results.
Primary reference & further reading
This guide combines general engineering recommendations with an illustrative scenario. Provider behavior can change; check current documentation before applying it. Read our editorial approach.